feat: add model_version_id to UploadModelResponse in aiplatform v1 model_service.proto

.kokoro/samples/python3.6/common.cfg

@@ -0,0 +1,40 @@
+# Format: //devtools/kokoro/config/proto/build.proto
+
+# Build logs will be here
+action {
+  define_artifacts {
+    regex: "**/*sponge_log.xml"
+  }
+}
+
+# Specify which tests to run
+env_vars: {
+    key: "RUN_TESTS_SESSION"
+    value: "py-3.6"
+}
+
+# Declare build specific Cloud project.
+env_vars: {
+    key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
+    value: "ucaip-sample-tests"
+}
+
+env_vars: {
+    key: "TRAMPOLINE_BUILD_FILE"
+    value: "github/python-aiplatform/.kokoro/test-samples.sh"
+}
+
+# Configure the docker image for kokoro-trampoline.
+env_vars: {
+    key: "TRAMPOLINE_IMAGE"
+    value: "gcr.io/cloud-devrel-kokoro-resources/python-samples-testing-docker"
+}
+
+# Download secrets for samples
+gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/python-docs-samples"
+
+# Download trampoline resources.
+gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
+
+# Use the trampoline script to run in docker.
+build_file: "python-aiplatform/.kokoro/trampoline_v2.sh"

.kokoro/samples/python3.6/continuous.cfg

@@ -0,0 +1,7 @@
+# Format: //devtools/kokoro/config/proto/build.proto
+
+env_vars: {
+    key: "INSTALL_LIBRARY_FROM_SOURCE"
+    value: "True"
+}
+

.kokoro/samples/python3.6/periodic-head.cfg

@@ -0,0 +1,11 @@
+# Format: //devtools/kokoro/config/proto/build.proto
+
+env_vars: {
+    key: "INSTALL_LIBRARY_FROM_SOURCE"
+    value: "True"
+}
+
+env_vars: {
+    key: "TRAMPOLINE_BUILD_FILE"
+    value: "github/python-aiplatform/.kokoro/test-samples-against-head.sh"
+}

.kokoro/samples/python3.6/presubmit.cfg

@@ -0,0 +1,6 @@
+# Format: //devtools/kokoro/config/proto/build.proto
+
+env_vars: {
+    key: "INSTALL_LIBRARY_FROM_SOURCE"
+    value: "True"
+}

google/cloud/aiplatform_v1/services/migration_service/client.py

@@ -218,40 +218,40 @@ def parse_dataset_path(path: str) -> Dict[str, str]:
     @staticmethod
     def dataset_path(
         project: str,
+        location: str,
         dataset: str,
     ) -> str:
         """Returns a fully-qualified dataset string."""
-        return "projects/{project}/datasets/{dataset}".format(
+        return "projects/{project}/locations/{location}/datasets/{dataset}".format(
             project=project,
+            location=location,
             dataset=dataset,
         )
 
     @staticmethod
     def parse_dataset_path(path: str) -> Dict[str, str]:
         """Parses a dataset path into its component segments."""
-        m = re.match(r"^projects/(?P<project>.+?)/datasets/(?P<dataset>.+?)$", path)
+        m = re.match(
+            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/datasets/(?P<dataset>.+?)$",
+            path,
+        )
         return m.groupdict() if m else {}
 
     @staticmethod
     def dataset_path(
         project: str,
-        location: str,
         dataset: str,
     ) -> str:
         """Returns a fully-qualified dataset string."""
-        return "projects/{project}/locations/{location}/datasets/{dataset}".format(
+        return "projects/{project}/datasets/{dataset}".format(
             project=project,
-            location=location,
             dataset=dataset,
         )
 
     @staticmethod
     def parse_dataset_path(path: str) -> Dict[str, str]:
         """Parses a dataset path into its component segments."""
-        m = re.match(
-            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/datasets/(?P<dataset>.+?)$",
-            path,
-        )
+        m = re.match(r"^projects/(?P<project>.+?)/datasets/(?P<dataset>.+?)$", path)
         return m.groupdict() if m else {}
 
     @staticmethod

google/cloud/aiplatform_v1/types/model_service.py

@@ -121,12 +121,19 @@ class UploadModelResponse(proto.Message):
         model (str):
             The name of the uploaded Model resource. Format:
             ``projects/{project}/locations/{location}/models/{model}``
+        model_version_id (str):
+            Output only. The version ID of the model that
+            is uploaded.
     """
 
     model = proto.Field(
         proto.STRING,
         number=1,
     )
+    model_version_id = proto.Field(
+        proto.STRING,
+        number=2,
+    )
 
 
 class GetModelRequest(proto.Message):

mypy.ini

@@ -1,3 +1,3 @@
 [mypy]
-python_version = 3.7
+python_version = 3.6
 namespace_packages = True

samples/model-builder/noxfile.py

@@ -89,7 +89,7 @@ def get_pytest_env_vars() -> Dict[str, str]:
 
 # DO NOT EDIT - automatically generated.
 # All versions used to test samples.
-ALL_VERSIONS = ["3.7", "3.8", "3.9", "3.10"]
+ALL_VERSIONS = ["3.6", "3.7", "3.8", "3.9", "3.10"]
 
 # Any default versions that should be ignored.
 IGNORED_VERSIONS = TEST_CONFIG["ignored_versions"]

samples/snippets/noxfile.py

@@ -89,7 +89,7 @@ def get_pytest_env_vars() -> Dict[str, str]:
 
 # DO NOT EDIT - automatically generated.
 # All versions used to test samples.
-ALL_VERSIONS = ["3.7", "3.8", "3.9", "3.10"]
+ALL_VERSIONS = ["3.6", "3.7", "3.8", "3.9", "3.10"]
 
 # Any default versions that should be ignored.
 IGNORED_VERSIONS = TEST_CONFIG["ignored_versions"]

scripts/readme-gen/templates/install_deps.tmpl.rst

@@ -12,7 +12,7 @@ Install Dependencies
    .. _Python Development Environment Setup Guide:
        https://cloud.google.com/python/setup
 
-#. Create a virtualenv. Samples are compatible with Python 3.7+.
+#. Create a virtualenv. Samples are compatible with Python 3.6+.
 
     .. code-block:: bash
 

tests/unit/gapic/aiplatform_v1/test_migration_service.py

@@ -1979,19 +1979,22 @@ def test_parse_dataset_path():
 
 def test_dataset_path():
     project = "squid"
-    dataset = "clam"
-    expected = "projects/{project}/datasets/{dataset}".format(
+    location = "clam"
+    dataset = "whelk"
+    expected = "projects/{project}/locations/{location}/datasets/{dataset}".format(
         project=project,
+        location=location,
         dataset=dataset,
     )
-    actual = MigrationServiceClient.dataset_path(project, dataset)
+    actual = MigrationServiceClient.dataset_path(project, location, dataset)
     assert expected == actual
 
 
 def test_parse_dataset_path():
     expected = {
-        "project": "whelk",
-        "dataset": "octopus",
+        "project": "octopus",
+        "location": "oyster",
+        "dataset": "nudibranch",
     }
     path = MigrationServiceClient.dataset_path(**expected)
 
@@ -2001,22 +2004,19 @@ def test_parse_dataset_path():
 
 
 def test_dataset_path():
-    project = "oyster"
-    location = "nudibranch"
-    dataset = "cuttlefish"
-    expected = "projects/{project}/locations/{location}/datasets/{dataset}".format(
+    project = "cuttlefish"
+    dataset = "mussel"
+    expected = "projects/{project}/datasets/{dataset}".format(
         project=project,
-        location=location,
         dataset=dataset,
     )
-    actual = MigrationServiceClient.dataset_path(project, location, dataset)
+    actual = MigrationServiceClient.dataset_path(project, dataset)
     assert expected == actual
 
 
 def test_parse_dataset_path():
     expected = {
-        "project": "mussel",
-        "location": "winkle",
+        "project": "winkle",
         "dataset": "nautilus",
     }
     path = MigrationServiceClient.dataset_path(**expected)